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Record W3180995513 · doi:10.3324/haematol.2021.278762

The RUNX1 database (RUNX1db): establishment of an expert curated RUNX1 registry and genomics database as a public resource for familial platelet disorder with myeloid malignancy

2021· article· en· W3180995513 on OpenAlexafffund
Claire C. Homan, Sarah L. King‐Smith, David Lawrence, Peer Arts, Jinghua Feng, James Andrews, M. Armstrong, Thuong Ha, Julia Dobbins, Michael W. Drazer, Kai Yu, Csaba Bödör, Alan Cantor, Mario Cazzola, Erin Degelman, Courtney D. DiNardo, Nicolas Duployez, Rémi Favier, Stefan Fröhling, Jude Fitzgibbon, Jeffery M. Klco, Alwin Krämer, Mineo Kurokawa, Joanne Lee, Luca Malcovati, Neil V. Morgan, Georges Natsoulis, Carolyn Owen, Keyur P. Patel, Claude Preudhomme, Hana Raslová, Hugh Young Rienhoff, Tim Ripperger, Rachael Schulte, Kiran Tawana, Elvira Deolinda Rodrigues Pereira Velloso, Benedict Yan, Paul Liu, Lucy A. Godley, Andreas Schreiber, Christopher N Hahn, Hamish S. Scott, Anna Brown

Bibliographic record

VenueHaematologica · 2021
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsFoothills Medical Centre
FundersNHLBI Division of Intramural ResearchMedical Research CouncilUniversity of Texas MD Anderson Cancer CenterDirectorate for Biological SciencesNational Institutes of HealthDeutschen Konsortium für Translationale KrebsforschungNational University Health SystemMasarykova UniverzitaCanterbury District Health BoardNational Health and Medical Research CouncilUniversidade de São PauloMedizinischen Hochschule HannoverGovernment of South AustraliaVanderbilt UniversityUniversity of ChicagoUniversità degli Studi di PaviaSociedade Beneficente Israelita Brasileira Albert EinsteinUniversity of TokyoInstitut Gustave-RoussySemmelweis EgyetemEuropean Hematology AssociationErasmus Medisch CentrumUniversity of South AustraliaInstitut National de la Santé et de la Recherche MédicaleCancer Research UKVanderbilt University Medical CenterQueen Mary University of LondonHospital Research FoundationAssociazione Italiana per la Ricerca sul CancroNational Cancer InstituteUniversität HeidelbergAustralian Cancer Research FoundationCancer Council South AustraliaUniversité de MontréalLigue Contre le CancerDeutsches KrebsforschungszentrumRoyal Adelaide HospitalFondazione IRCCS Policlinico San MatteoBundesministerium für Bildung und ForschungAssistance publique-Hôpitaux de ParisMassachusetts General Hospital
KeywordsDatabaseRUNX1GenomicsMedicineBiologyComputer scienceGeneticsGeneGenomeTranscription factor

Abstract

fetched live from OpenAlex

The RUNX1 database (RUNX1db): establishment of an expert curated RUNX1 registry and genomics database as a public resource for familial platelet disorder with myeloid malignancy

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.590
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.300
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations55
Published2021
Admission routes2
Has abstractyes

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